Courses

Major Courses

 

Lower Division Requirements

MAT245 Analytcl Geometry and Calculus I

Basic concepts of analytical geometry, limits and derivatives, differentials and rates, integration, definite and indefinite integrals, differentiation of logarithmic and exponential functions. Prerequisites: MAT 135, 145, EGR 182, or sufficient SAT, ACT or math placement exam scores and appropriate high school mathematics background. (4 units; Fall/Spring)

MAT245-B
Curry, Brad
09/06/2022 MWF 9:30 AM - 10:30 AM Yeager Center ONLN
MAT245-A
Cordero, Ricardo J.
09/06/2022 Th 8:15 AM - 9:15 AM BUS 202
MAT245-A
Willett, Robert James
01/09/2023 MWF 8:15 AM - 9:15 AM Health Science Campus ONLN
MAT245-B
Willett, Robert James
01/09/2023 MWF 9:30 AM - 10:30 AM Health Science Campus ONLN
MAT245-A
Willett, Robert James
05/08/2023 MTWTh 10:00 AM - 12:00 PM TBA
MAT245-A
STAFF, STAFF
09/05/2023 Th 8:15 AM - 9:15 AM TBA
MAT245-B
STAFF, STAFF
09/05/2023 Th 9:30 AM - 10:30 AM TBA

STA101 Statistical Foundations

A course emphasizing the empirical and scientific approaches to disciplines involved in statistical and data analytics sciences. Students learn the historical foundation of each departmental program area. Students will also familiarize themselves with the perspectives and specialties of our department faculty while systematically and critically reviewing the expanding roles of data-centric sciences. The course focuses on teaching, writing, developing a future internship, exploring potential graduate work, and engaging in professional associations from a Christian worldview. Note: This course is designed to introduce students in statistics-related majors (Applied Statistical Analysis, Statistics and Data Analytics, Actuarial Science, Sports Analytics, etc.) to the discipline. It is not designed as a major or general education course in statistics and does not fulfill the ‘introduction to statistics’ requirement for any major. Pass/Fail. (1 unit; Fall)

STA101-A
Noh, Heewon Esther_AKA:_Esther_L
09/06/2022 M 8:15 AM - 9:15 AM Yeager Center B222
STA101-A
Noh, Heewon Esther_AKA:_Esther_L
09/05/2023 M 8:15 AM - 9:15 AM TBA

STA144 Introduction to Statistics

Mathematical theory and applications, development of formulae, principles of statistical decision theory, descriptive measurements, probability concepts, random variables, normal distribution, inferential statistics, sampling distributions, confidence intervals, hypothesis testing, chi-squared procedures, linear regression, and the use of computers in statistics. Prerequisite: MAT 115 or sufficient SAT, ACT or math placement exam scores and appropriate high school mathematics background. (3 units; Fall/Spring)

STA144-D
Grigsby, Michael E.
09/06/2022 MWF 9:30 AM - 10:30 AM Health Science Campus P280
STA144-B
Carothers, Linn E.
09/06/2022 MWF 1:15 PM - 2:15 PM Yeager Center A110
STA144-C
Carothers, Linn E.
09/06/2022 MWF 2:30 PM - 3:30 PM Yeager Center A110
STA144-A
Carothers, Linn E.
09/06/2022 MWF 12:00 PM - 1:00 PM Yeager Center A110
STA144-D
Overduin, Matthew D.
01/09/2023 MWF 9:30 AM - 10:30 AM The Village at CBU 300
STA144-B
Carothers, Linn E.
01/09/2023 MWF 1:15 PM - 2:15 PM Yeager Center A111
STA144-A
Carothers, Linn E.
01/09/2023 MWF 12:00 PM - 1:00 PM Yeager Center A111
STA144-A
Carothers, Linn E.
05/08/2023 - Online
STA144-B
Carothers, Linn E.
07/03/2023 - Online
STA144-D
Noh, Heewon Esther_AKA:_Esther_L
09/05/2023 TTh 12:15 PM - 1:45 PM TBA
STA144-A
Carothers, Linn E.
09/05/2023 MWF 12:00 PM - 1:00 PM Yeager Center A111
STA144-B
Carothers, Linn E.
09/05/2023 MWF 1:15 PM - 2:15 PM Yeager Center A111
STA144-C
Carothers, Linn E.
09/05/2023 MWF 2:30 PM - 3:30 PM Yeager Center A111

STA205 Applied Linear Regression

This course represents a basic concepts and methodology course in regression analysis using application of general linear regression models to real-life situations. Case studies are used to give practice in diagnosing practical problems, deciding on appropriate models, and knowing which inferential technique will answer the researcher’s questions for the purposes of description and prediction. Regression models and model building typical of problems used in the social and behavioral sciences, the natural and health sciences, and many other disciplines are covered. Prerequisite: STA 144. (3 units; Spring, even years)

STA210 Statistical Computing I

An introduction to data mining, management and statistical programming techniques using comprehensive and widely available tools like SAGE, SPSS, SAS and R. Students learn exploratory data analysis, coding and manipulation of variables, database management applying statistical concepts. Modeling and simulation experiments on a variety of applied data sets. Pre- or Co- Requisite: STA 144. (3 units; Fall)

STA210-A
Noh, Heewon Esther_AKA:_Esther_L
09/06/2022 MWF 10:45 AM - 11:45 AM Yeager Center B259
STA210-A
Noh, Heewon Esther_AKA:_Esther_L
09/05/2023 MWF 10:45 AM - 11:45 AM TBA

STA211 Statistical Computing II

A continuation of Statistical Computing I using comprehensive and widely available tools like SAGE, SPSS, SAS and R. Advanced techniques will be covered including (but not limited to) numerical linear algebra, optimization and nonlinear equations, the EM algorithm, Laplace approximations, quadrature methods, simulation methodology, sampling, Monte Carlo and bootstrap methods. Prerequisite; STA 210. (3 units; Spring)

STA211-A
Noh, Heewon Esther_AKA:_Esther_L
01/09/2023 MWF 10:45 AM - 11:45 AM Mission Hall 127

 

Upper Division Requirements

STA303 Research and Experimental Design

This course studies experimental designs with corresponding models and analyses critical for students in the empirical sciences. Course topics include estimation, test of hypothesis, analysis of variance and a variety of topics in experimental design. Decisions and practical considerations which minimize experimental error and avoid confounding results are dealt with in real life contexts. Prerequisite: STA 144. (3 units; Fall, odd years)

STA303-A
Noh, Heewon Esther_AKA:_Esther_L
09/05/2023 TTh 3:45 PM - 5:15 PM TBA

STA305 Sampling and Survey Methodology

Sampling theory and practice are presented in this course through a study of simple random samples, stratified random samples, cluster sampling, estimating sample size, ratio estimates, subsampling, two-state sampling and analysis of sampling error. This is a critical course for students in education and the social, medical, biological and management sciences where sampling is a fundamental step in virtually every statistical procedure and critical to meaningful survey research. Prerequisite: STA 144. (3 units; Fall, even years)

STA305-A
Noh, Heewon Esther_AKA:_Esther_L
09/06/2022 TTh 8:45 AM - 10:15 AM Mission Hall 125

STA310 Mathematical Statistics I

The first semester of a two-semester course providing a systematic development of the theories of probability and statistics. Students learn and use fundamental concepts of probability models, random variables and their distributions, reduction of data, estimation, testing of hypotheses, univariate normal inference, and statistical decision theory. The first semester is required for BA and BS statistics majors of all concentrations. Prerequisites: MAT 245 and STA 144. (3 units; Fall, even years)

STA310-A
Noh, Heewon Esther_AKA:_Esther_L
09/06/2022 TTh 12:15 PM - 1:45 PM James Complex 104

STA311 Mathematical Statistics II

Second semester course in a systematic development of the theories of probability and statistics. Topics include analysis of categorical data, multivariate distributions, nonparametric inference, linear models and analysis of variance. As time permits, the theory underlying Markov chain, Monte Carlo, quasi-likelihood, empirical likelihood, statistical functionals, generalized estimating equations, the jackknife, and the bootstrap are addressed. Prerequisite: STA 310. (3 units; Spring, odd years)

STA311-A
Noh, Heewon Esther_AKA:_Esther_L
01/09/2023 TTh 12:15 PM - 1:45 PM James Complex 375

STA490 Research in Statistics

The focus of this class is an idependent research project that the student undertakes under the direction of a faculty member who acts as a research advisor. Content varies from year to year and is determined by both the intructor's and student's interests. May be repeated for credit. Prerequisite: Permission of the department chair. (1-4 units; As offered)

STA490-A
Noh, Heewon Esther_AKA:_Esther_L
01/09/2023 - Instructor OFFC

STA499 Capstone

The course is designed to be a culminating experience for senior students. The course gives students through writing, seminar and conference participation, an opportunity to demonstrate their skill and proficiency in the field of statistics. In some cases, this may be coupled with internships. Prerequisite: Permission of Department Chair. (1-3 units; Spring)

STA499-A
Carothers, Linn E.
09/06/2022 MWF 12:00 PM - 1:00 PM Yeager Center A110
STA499-A
Noh, Heewon Esther_AKA:_Esther_L
01/09/2023 - Instructor OFFC

  

Concentration Courses (18-20 units)

 

Students must complete all requirements in one of the following concentrations listed below:

  • Mathematical Data Analytics
  • Quantitative Business Methods

 

Mathematical Data Analytics (20 units)

MAT255 Anlytcl Geometry and Calculus II

Continued study and applications of integration: volumes, lengths, surface of revolution; derivatives and integrals involving trigonometric functions, infinite series, expansion of functions, hyperbolic functions, law of the mean, partial fractions, polar coordinates, and conic sections. Prerequisite: MAT 245. (4 units; Fall/Spring)

MAT255-A
Willett, Robert James
09/06/2022 MWF 12:00 PM - 1:00 PM BUS ONLN
MAT255-B
Willett, Robert James
09/06/2022 MWF 1:15 PM - 2:15 PM BUS ONLN
MAT255-B
DellAcqua, Jessica K.
01/09/2023 MWF 12:00 PM - 1:00 PM Mission Hall ONLN
MAT255-A
Sill, Michael R.
01/09/2023 MWF 10:45 AM - 11:45 AM Health Science Campus ONLN
MAT255-A
Willett, Robert James
07/03/2023 MTWTh 10:00 AM - 12:00 PM TBA
MAT255-B
Willett, Robert James
09/05/2023 MWF 1:15 PM - 2:15 PM TBA ONLN
MAT255-A
Willett, Robert James
09/05/2023 MWF 9:30 AM - 10:30 AM Mission Hall ONLN

MAT303 LinearAlg wth Appl to DiffEqutns

This course is designed to teach students some of the basic computational skills of Linear Algebra in the context of Differential Equations. Students will learn to use the basic operations of matrices, study systems of linear equations and find the determinant, eigenvalues and eigenvectors of a matrix. The student will apply these tools in the qualitative study of solutions to systems of Differential Equations. Prerequisite: MAT 255. (3 units; Fall, even years)

MAT303-A
Sill, Michael R.
09/06/2022 MWF 2:30 PM - 3:30 PM Mission Hall 125

MAT343 Multivariable Calculus

Study and applications of vector analysis, partial differentiation, multiple integration, Jacobians, theorems of Green and Stokes, and divergence theorem. Prerequisite: MAT 255. (4 units; Fall/Spring)

MAT343-A
Sill, Michael R.
09/06/2022 T 10:45 AM - 11:45 AM Mission Hall 127
MAT343-B
Sill, Michael R.
09/06/2022 T 10:45 AM - 11:45 AM Mission Hall 127
MAT343-C
Sill, Michael R.
09/06/2022 T 12:00 PM - 1:00 PM Mission Hall 127
MAT343-A
Sill, Michael R.
01/09/2023 MWF 1:15 PM - 2:15 PM Mission Hall ONLN
MAT343-A
STAFF, STAFF
09/05/2023 T 8:15 AM - 9:15 AM TBA
MAT343-B
STAFF, STAFF
09/05/2023 T 8:15 AM - 9:15 AM TBA
MAT343-C
Sill, Michael R.
09/05/2023 T 10:45 AM - 11:45 AM TBA

STA360 Data Visualization

This course provides the tools to create and critically evaluate data visualizations. Focus will be on statistical graphics, graphics that display statistical data. Additionally, recent advances in the field of information visualization will be covered. Prerequisite: STA 144. (3 units; Spring, even years)

STA362 Advanced Statistical Computing

A course to introduce statistical models of advanced least squares regression and standard ANOVA techniques and extensions to categorical data. Students will conceptually understand linear mixed effects models, log linear and generalized linear models for count data; and survival models for the analysis of lifetime data. In addition, students will apply these models to real data, to discern patterns and conclusions, and present their results. Prerequisites: STA 205 and STA 210. (3 units; Fall, even years)

STA362-A
Noh, Heewon Esther_AKA:_Esther_L
09/06/2022 TTh 2:00 PM - 3:30 PM Yeager Center B258

STA364 Applied Statistical Methodology

A course in application of parametric and nonparametric single and multivariable data analytic techniques to sports. Topics will include: linear regression, correlation, confounding and interactions, variable selection, categorical predictors and outcomes, logistic regression, factor analysis, discriminant analysis, and regression techniques with longitudinal data. Prerequisite: STA 210. (3 units; Spring, odd years)

STA364-A
Noh, Heewon Esther_AKA:_Esther_L
01/09/2023 TTh 10:30 AM - 12:00 PM James Complex 375

 


 

Quantitative Business Methods (18 units)

BUS380 Business Analytics Vslztn Strtgy

This course teaches strategies for visual analyses of business data to inform business strategies across a variety of industries. Students will learn how to create and interpret charts, graphs, infographics, interactive dashboards and communicate the visual insights to customers and employers. A variety of visualization tools will be used for practice and preparation for industry certifications, e.g. SAS, Tableau, GIS. Prerequisite: BEH 290, BUS 315, CJS 481, EGR 305, or STA 144. (3 units; Fall, odd years)

BUS381 Spatial Analytics in Business

This course trains students in developing spatial analyses for business decisions and strategy across a variety of industries, e.g. business, logistics, real estate, healthcare, marketing analytics, finance. Students will learn how to perform market and customer segmentation, identify patterns in consumer behavior and how they change over time, and others. This course prepares towards SAS, Tableau, GIS certification and is ideal for students who wish to have careers requiring analytics, strategy and/or consulting. Prerequisite: BEH 290, BUS 315, CJS 481, EGR 305, or STA 144. (3 units; Spring, even years)

BUS381-A
Yoo, James J.
01/09/2023 - Instructor OFFC

BUS480 Business Models and Analytics

This course teaches business models to explore and predict specific applied business environments, e.g. customer retention, consumer decisions, sales forecasting, text analytics, etc. Concepts combine application of business models and strategy for marketing, finance, production, process, and managerial targets. This course is ideal for students who prepare for careers requiring analytics, strategy and/or consulting and prepares for industry certifications, e.g. SAS, Tableau, GIS. Prerequisite: BEH 290, BUS 315, CJS 481, EGR305, or STA 144. (3 units; Fall, even years)

BUS480-A
Yoo, James J.
09/06/2022 TTh 12:15 PM - 1:45 PM Other Non-Site Locations OTHR

BUS481 Design Thinking in Bus Analysis

This course teaches how to develop business analytics that improve customer experiences and meet employers' expectations. Students will learn design thinking strategies to identify hidden customer needs, define problems and opportunities, elicit and gather project requirements. They will then practice aligning these user needs with analytics models and tie them into a winning business strategy. This course is ideal for students who prepare for careers requiring analytics, strategy, and/or consulting for a variety of industries. Prerequisite: BEH 290, BUS 315, CJS 481, EGR 305, or STA 144. (3 units; Spring, odd years)

BUS481-A
Girju, Marina Magdalena
01/09/2023 - Instructor OFFC

STA320 Financial Mathematics I

An introduction to the fundamental concepts of financial mathematics including basic interest theory. These concepts will be applied in calculating present and accumulated values for various streams of cash flows as a basis for future use in: reserving, valuation, pricing, asset/liability management, investment income, capital budgeting, and valuing contingent cash flow. Prerequisite: MAT 245. (3 units; Fall, even years)

STA320-A
Nielsen Hernandez, Michelle
09/06/2022 TTh 7:00 AM - 8:30 AM James Complex 189

STA321 Financial Mathematics II

A continuation of the fundamental concepts of financial mathematics including the basics of financial economics and an introduction to financial instruments, including derivatives, and the concept of no-arbitrage as it relates to financial mathematics. Prerequisite: STA 320 (3 Units; Spring, odd years)

STA321-A
Nielsen Hernandez, Michelle
01/09/2023 MW 9:30 AM - 10:30 AM James Complex ONLN